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Genome-Scale Identification of Essential Metabolic Processes for Targeting the Plasmodium Liver Stage

Plasmodium gene functions in mosquito and liver stages remain poorly characterized due to limitations in the throughput of phenotyping at these stages. To fill this gap, we followed more than 1,300 barcoded P. berghei mutants through the life cycle. We discover 461 genes required for efficient paras...

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Autores principales: Stanway, Rebecca R., Bushell, Ellen, Chiappino-Pepe, Anush, Roques, Magali, Sanderson, Theo, Franke-Fayard, Blandine, Caldelari, Reto, Golomingi, Murielle, Nyonda, Mary, Pandey, Vikash, Schwach, Frank, Chevalley, Séverine, Ramesar, Jai, Metcalf, Tom, Herd, Colin, Burda, Paul-Christian, Rayner, Julian C., Soldati-Favre, Dominique, Janse, Chris J., Hatzimanikatis, Vassily, Billker, Oliver, Heussler, Volker T.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cell Press 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6904910/
https://www.ncbi.nlm.nih.gov/pubmed/31730853
http://dx.doi.org/10.1016/j.cell.2019.10.030
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author Stanway, Rebecca R.
Bushell, Ellen
Chiappino-Pepe, Anush
Roques, Magali
Sanderson, Theo
Franke-Fayard, Blandine
Caldelari, Reto
Golomingi, Murielle
Nyonda, Mary
Pandey, Vikash
Schwach, Frank
Chevalley, Séverine
Ramesar, Jai
Metcalf, Tom
Herd, Colin
Burda, Paul-Christian
Rayner, Julian C.
Soldati-Favre, Dominique
Janse, Chris J.
Hatzimanikatis, Vassily
Billker, Oliver
Heussler, Volker T.
author_facet Stanway, Rebecca R.
Bushell, Ellen
Chiappino-Pepe, Anush
Roques, Magali
Sanderson, Theo
Franke-Fayard, Blandine
Caldelari, Reto
Golomingi, Murielle
Nyonda, Mary
Pandey, Vikash
Schwach, Frank
Chevalley, Séverine
Ramesar, Jai
Metcalf, Tom
Herd, Colin
Burda, Paul-Christian
Rayner, Julian C.
Soldati-Favre, Dominique
Janse, Chris J.
Hatzimanikatis, Vassily
Billker, Oliver
Heussler, Volker T.
author_sort Stanway, Rebecca R.
collection PubMed
description Plasmodium gene functions in mosquito and liver stages remain poorly characterized due to limitations in the throughput of phenotyping at these stages. To fill this gap, we followed more than 1,300 barcoded P. berghei mutants through the life cycle. We discover 461 genes required for efficient parasite transmission to mosquitoes through the liver stage and back into the bloodstream of mice. We analyze the screen in the context of genomic, transcriptomic, and metabolomic data by building a thermodynamic model of P. berghei liver-stage metabolism, which shows a major reprogramming of parasite metabolism to achieve rapid growth in the liver. We identify seven metabolic subsystems that become essential at the liver stages compared with asexual blood stages: type II fatty acid synthesis and elongation (FAE), tricarboxylic acid, amino sugar, heme, lipoate, and shikimate metabolism. Selected predictions from the model are individually validated in single mutants to provide future targets for drug development.
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spelling pubmed-69049102019-12-20 Genome-Scale Identification of Essential Metabolic Processes for Targeting the Plasmodium Liver Stage Stanway, Rebecca R. Bushell, Ellen Chiappino-Pepe, Anush Roques, Magali Sanderson, Theo Franke-Fayard, Blandine Caldelari, Reto Golomingi, Murielle Nyonda, Mary Pandey, Vikash Schwach, Frank Chevalley, Séverine Ramesar, Jai Metcalf, Tom Herd, Colin Burda, Paul-Christian Rayner, Julian C. Soldati-Favre, Dominique Janse, Chris J. Hatzimanikatis, Vassily Billker, Oliver Heussler, Volker T. Cell Article Plasmodium gene functions in mosquito and liver stages remain poorly characterized due to limitations in the throughput of phenotyping at these stages. To fill this gap, we followed more than 1,300 barcoded P. berghei mutants through the life cycle. We discover 461 genes required for efficient parasite transmission to mosquitoes through the liver stage and back into the bloodstream of mice. We analyze the screen in the context of genomic, transcriptomic, and metabolomic data by building a thermodynamic model of P. berghei liver-stage metabolism, which shows a major reprogramming of parasite metabolism to achieve rapid growth in the liver. We identify seven metabolic subsystems that become essential at the liver stages compared with asexual blood stages: type II fatty acid synthesis and elongation (FAE), tricarboxylic acid, amino sugar, heme, lipoate, and shikimate metabolism. Selected predictions from the model are individually validated in single mutants to provide future targets for drug development. Cell Press 2019-11-14 /pmc/articles/PMC6904910/ /pubmed/31730853 http://dx.doi.org/10.1016/j.cell.2019.10.030 Text en © 2019 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Stanway, Rebecca R.
Bushell, Ellen
Chiappino-Pepe, Anush
Roques, Magali
Sanderson, Theo
Franke-Fayard, Blandine
Caldelari, Reto
Golomingi, Murielle
Nyonda, Mary
Pandey, Vikash
Schwach, Frank
Chevalley, Séverine
Ramesar, Jai
Metcalf, Tom
Herd, Colin
Burda, Paul-Christian
Rayner, Julian C.
Soldati-Favre, Dominique
Janse, Chris J.
Hatzimanikatis, Vassily
Billker, Oliver
Heussler, Volker T.
Genome-Scale Identification of Essential Metabolic Processes for Targeting the Plasmodium Liver Stage
title Genome-Scale Identification of Essential Metabolic Processes for Targeting the Plasmodium Liver Stage
title_full Genome-Scale Identification of Essential Metabolic Processes for Targeting the Plasmodium Liver Stage
title_fullStr Genome-Scale Identification of Essential Metabolic Processes for Targeting the Plasmodium Liver Stage
title_full_unstemmed Genome-Scale Identification of Essential Metabolic Processes for Targeting the Plasmodium Liver Stage
title_short Genome-Scale Identification of Essential Metabolic Processes for Targeting the Plasmodium Liver Stage
title_sort genome-scale identification of essential metabolic processes for targeting the plasmodium liver stage
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6904910/
https://www.ncbi.nlm.nih.gov/pubmed/31730853
http://dx.doi.org/10.1016/j.cell.2019.10.030
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